memq VS ai-exploits

Compare memq vs ai-exploits and see what are their differences.

memq

MemQ is an efficient, scalable cloud native PubSub system (by pinterest)

ai-exploits

A collection of real world AI/ML exploits for responsibly disclosed vulnerabilities (by protectai)
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memq ai-exploits
2 6
113 1,265
1.8% 5.9%
6.4 6.7
16 days ago 8 days ago
Java Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

memq

Posts with mentions or reviews of memq. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-20.

ai-exploits

Posts with mentions or reviews of ai-exploits. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-20.

What are some alternatives?

When comparing memq and ai-exploits you can also consider the following projects:

FLaNK-EveryTransitSystem - Every transit system

depthai-python - DepthAI Python Library

automq - AutoMQ is a cloud-native fork of Kafka by separating storage to S3. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.

awesome-public-real-time-datasets - A list of publicly available datasets with real-time data maintained by the team at bytewax.io

StyleTTS2 - StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

imgbeddings - Python package to generate image embeddings with CLIP without PyTorch/TensorFlow

sql-cli-for-apache-flink-docker - SQL CLI for Apache FlinkĀ® via docker-compose